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We aimed to clarify the impact of the serum zinc (Zn) level grading system proposed by the Japanese society of clinical nutrition (JSCN: 80 &mu, g/dL &lt, serum Zn level &lt, 130 &mu, g/dL (type A), 60 &mu, 80 &mu, g/dL (type B), and serum Zn level &lt, 60 &mu, g/dL (type C)) in patients with hepatitis C virus (HCV)-related liver cirrhosis (LC) on the incidence of composite hepatic events (Com-HEs) compared with Child&ndash, Pugh (C&ndash, P) classification or albumin-bilirubin (ALBI) grade. (n = 275, median age = 67 years). The Akaike information criterion (AIC) was compared among three prognostic models. Factors associated with the incidence of Com-HEs were also studied. The first incidence of any HE was confirmed in 112 patients (40.7%). The AIC value for Com-HEs by the Zn level grading system was the lowest among the three prognostic models (AIC: 301.788 in Zn level grading system, 303.372 in ALBI grade, and 333.953 in C&ndash, P classification). In the multivariate analysis, male (p = 0.0031), ALBI grade 3 (p = 0.0041), type B (p = 0.0238), type C (p = 0.0004), and persistent viremia (p &lt, 0.0001) were significant factors associated with the incidence of Com-HEs. In conclusion, the serum Zn level grading system proposed by JSCN can be helpful for estimating the incidence of Com-HEs in HCV-related LC patients.

We aimed to clarify the relationship between sustained virological response (SVR) and gastroesophageal varices (GEVs) progression among hepatitis C virus (HCV)-related liver cirrhosis (LC) patients treated with interferon (IFN)-based therapies (n = 18) and direct-acting antiviral (DAA)-based therapies (n = 37), and LC patients with no SVR (n = 71) who had already developed GEVs. Factors influencing GEVs progression were also examined. During the follow-up period, GEVs progression was observed in 50 patients (39.7%). The 3-year cumulative GEVs progression rates in the DAA-SVR group, the IFN-SVR group, and the non-SVR group were 32.27%, 5.88%, and 33.76%, respectively (overall p value = 0.0108). Multivariate analysis revealed that sex (p = 0.0430), esophageal varices (EVs) F2 or more (p &lt, 0.0001), and DAA-SVR (p = 0.0126, IFN-SVR as a reference) and non-SVR (p = 0.0012, IFN-SVR as a reference) were independent predictors for GEVs progression. The proportion of GEVs progression in patients with no or F1 EVs was significantly lower than that in patients with F2 or F3 EVs (33.9% (38/112) vs. 85.7% (12/14), p = 0.0003). In conclusion, IFN-based therapies can have a favorable impact for preventing GEVs progression in HCV-related LC patients with GEVs. Clinicians should be aware of a point of no return where SVR is no longer capable of avoiding GEVs progression.

Currently, the Japanese society of clinical nutrition (JSCN) defines serum zinc (Zn) level &lt, 60 &mu, g/dL as Zn deficiency and 60 &mu, g/dL &le, serum Zn level &lt, 80 &mu, g/dL as subclinical Zn deficiency, and 80 &mu, 130 &mu, g/dL as normal Zn range. We aimed to elucidate the prognostic impact of this Zn classification system in patients with liver cirrhosis (LC) compared to the Child&ndash, Pugh classification and the albumin&ndash, bilirubin (ALBI) grading system (n = 441, median age = 66 years). The Akaike information criterion (AIC) with each evaluation method was tested in order to compare the overall survival (OS). The median serum Zn level was 65 &mu, g/dL. There were 56 patients with normal Zn level, 227 with subclinical Zn deficiency and 158 with Zn deficiency. OS was well stratified among three groups of serum Zn level (p &lt, 0.0001). The AIC value for survival by the Zn classification system was the lowest among three prognostic models (AIC: 518.99 in the Child&ndash, Pugh classification, 502.411 in ALBI grade and 482.762 in the Zn classification system). Multivariate analyses of factors associated with OS revealed that serum Zn classification by JSCN was an independent factor. In conclusion, the serum Zn classification proposed by JSCN appears to be helpful for estimating prognosis in LC patients.

We sought to investigate the influence of sarcopenia as defined by muscle strength and skeletal muscle mass (SMM) on sleep disturbance as evaluated by the Japanese version of Pittsburgh Sleep Quality Index (PSQI-J) in chronic liver diseases (CLDs) (n = 419). Muscle strength and muscle mass were determined by grip strength (GS) and SMM using bioimpedance analysis. Patients were classified into four types: type A (n = 61), decreased GS and decreased SMM, type B (n = 45), decreased GS and non-decreased SMM, type C (n = 102), non-decreased GS and decreased SMM, and type D (n = 211), non-decreased GS and non-decreased SMM. Factors associated with PSQI-J score 6 or more were examined. PSQI-J score 0&ndash, 5 (normal) was found in 253 (60.4%), 6&ndash, 8 (mild) in 97 (23.2%), 9&ndash, 11 (moderate) in 45 (10.7%) and 12 or more (severe) in 24 (5.7%). Univariate analysis identified three factors to be significantly associated with PSQI-J score 6 or more: presence of liver cirrhosis (LC) (P = 0.0132), our classification of type A, B, C and D (P &lt, 0.0001) and serum albumin level (P = 0.0041). Multivariate analysis showed that type A (P = 0.0021) and type B (P = 0.0220) were significant independent factors. In conclusion, sarcopenia in CLDs appears to be closely associated with sleep disturbance mainly due to muscle strength decline.

Aims: To identify the relationship between the Controlling Nutrition Status (CONUT) score and clinical parameters among adults with hepatitis C virus (HCV)-related liver cirrhosis (LC) (n = 264, 141 males and 123 females). Methods: The relationship between the CONUT score and clinical variables such as Child-Pugh classification were investigated. We also examined factors linked to poor nutritional state as determined by CONUT score. Results: According to the CONUT score, normal nutritional state was found in 57 patients, mild malnutrition state in 132, moderate malnutrition state in 68 and severe malnutrition state in 7. The CONUT score ranged from 0 to 9 (median = 2) in Child-Pugh A (n = 198), 0 to 10 (median = 6) in Child-Pugh B (n = 62) and 6 to 9 (median = 7.5) in Child-Pugh C (n = 4) (overall, p &lt, 0.00001). Multivariate analysis revealed that FIB-4 index, branched-chain amino acid to tyrosine ratio and extracellular water to total body water ratio in bioimpedance analysis were significant for both CONUT score 2 or more, and 5 or more. FIB-4 index had the highest predictability for both CONUT score 2 or more and 5 or more among three parameters. Conclusion: The CONUT score well reflects liver functional reserve among adults with HCV-related LC. FIB-4 index can be useful for malnutrition.